Traffic Anomaly Detection by Antonio Cuadra-Sanchez, Javier Aracil

Traffic Anomaly Detection



Download Traffic Anomaly Detection

Traffic Anomaly Detection Antonio Cuadra-Sanchez, Javier Aracil ebook
Page: 70
Format: pdf
ISBN: 9781785480126
Publisher: Elsevier Science


Network Traffic Features for Anomaly Detection in Specific Industrial Control System Network. For anomaly detection, having more data means it's easier to detect an Figure 3. Malicious traffic anomalies can be caused by attacks, abusive network usage Then we have made use of this system in order to detect traffic anomalies in the. We describe a two stage anomaly detection system for identifying suspicious traffic. Matti Mantere * , Mirko Sailio. In this paper, we propose a simple, robust method that detects network anomalous traffic data based on flow monitoring. Keywords-network traffic anomaly; intrusion detection; wavelet; percentage deviation; entropy. Abnormal network traffic has a very great harm to the network, so we need to quickly detect abnormal traffic. A Distributed Data Streaming Algorithm for Network-wide. Real-time network traffic anomaly detection is crucial for the confidentiality, integrity, and security of network information. Understanding the Traffic Anomalies Rulebase. Based on a unique, patented multiverification process architecture, the Cisco Traffic Anomaly Detector Module (Figure 1) uses the latest behavioral analysis and attack recognition technology to proactively detect and identify all types of online attacks. Yang Liu, Linfeng Zhang, and Yong Guan. Advance the state of the art in network traffic anomaly detection.





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